Study on the Lateral Stability of B-Double Based on Clustering Analysis

Liu, Hongfei; Qiang, Xu; Xu, Hang; Bao, Cuizhu; Wang, Guojun; Zhang, Yihua

doi:10.1007/978-981-13-0302-9_41

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…However, in the intensity compensation experiment using 'II' fibre bundle, the output variation after compensation is still less than 3.0%, even when the measured intensity variation is nearly ten times. It can be seen that the 'II' type optical fibre bundle has a higher compensation accuracy compared with the spectroscopic method, and the former does not have harsh requirements on the polarisation characteristics of the incident light [8].…”

Section: Intensity Modulation Model Of Fibre Bundle Sensormentioning

confidence: 99%

Application of Forced Modulation Function Mathematical Model in the Characteristic Research of Reflective Intensity Fibre Sensors

Dai

Wang²,

Cheng

et al. 2021

Applied Mathematics and Nonlinear Sciences

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In order to discuss the application and mode of the forced modulation function in a sensor, the optical fibre emphasis function was established by referring to the geometric method, the tilt factor and the shape factor of the reflecting surface. These were introduced for the first time, and the corresponding mathematical model was established. The method of numerical simulation is systematically studied and multimode optical fibre parameters (including optical fibre of axial spacing, optical fibre core diameter and numerical aperture) are adopted. The reflective surface inclination and shape factors on the RIM–FOS intensity modulation characteristics are studied according to the obtained light quasi-Gaussian distribution model, establishing a general three-intensity modulation function of fibre optic sensor. The results show that the intensity modulation characteristic of specular reflection is obviously better than that of the diffuse reflection surface, and the peak value of the modulation function is five times that of diffuse reflection. The intensity modulation characteristic decreases with increase in the roughness of the reflection surface. The system can not only complete the RIM–FOS characteristic simulation and characteristic testing functions, but can also start-up the test and not be affected by the ambient light interference and power fluctuation of the light source. The test stability is good with high repeatability.

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Section: Intensity Modulation Model Of Fibre Bundle Sensormentioning

confidence: 99%

Application of Forced Modulation Function Mathematical Model in the Characteristic Research of Reflective Intensity Fibre Sensors

Dai

Wang²,

Cheng

et al. 2021

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

show abstract

“…K-means clustering methods to solve the mental health problems of college students are also developing. Based on mental health disorders, Pontoh et al grouped four categories by the K-means clustering method and conducted a confirmatory factor analysis to determine the relationship between parental rearing behaviour and children's mental health [8]. Chu et al applied the distance formula and clustering criterion function commonly used in cluster analysis to conduct a detailed analysis and research on the mental health status of college students [9].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Prediction of College Students’ Mental Health Based on K-means Clustering Algorithm

Liu

2021

Applied Mathematics and Nonlinear Sciences

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Mental health is an important basic condition for the adult development of college students, and education workers gradually pay attention to the strengthening of mental health education for college students. In this paper, a psychological management system based on the K-means clustering analysis method is proposed. Based on the basic functions of the traditional system, the students’ psychological data are reutilised by using the idea of data mining. By optimising the iterative process of the K-means algorithm, the valuable parts of a large number of precipitation students’ psychological data are extracted. A data model is established and it provides decision guidance for managers to scientifically manage students’ mental health process. The system establishes the data mining model in the process of analysis, carries on the mining to the students’ psychological data in the database, analyses the different college students’ mental health state characteristics and provides the corresponding solution. The part of the test drew on mental health data from 1,000 students at a school, and the results show that the system uses the k-means algorithm to divide students into 3 categories, which are 20.6%, 31.9% and 47.1% respectively, which are 1.6% different from the data test results in the ideal state.

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Study on the Lateral Stability of B-Double Based on Clustering Analysis

Cited by 2 publications

References 8 publications

Application of Forced Modulation Function Mathematical Model in the Characteristic Research of Reflective Intensity Fibre Sensors

Application of Forced Modulation Function Mathematical Model in the Characteristic Research of Reflective Intensity Fibre Sensors

Analysis and Prediction of College Students’ Mental Health Based on K-means Clustering Algorithm

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